Real estate prices around Wakabadai Station (若葉台駅)
Real estate transactions whose nearest station is Wakabadai (155 transactions in 2021–2025). The median price of used condominiums was ¥44M. See price per ㎡ by walking distance and prices in nearby neighborhoods for free.
Lines: 京王電鉄相模原線
| Type | Transactions | Median price | Median price per ㎡ | vs. 2016–2020 |
|---|---|---|---|---|
| Used condominiums | 88 | ¥44M | ¥568K/㎡ | +30.2% |
| Land with house | 52 | ¥55.5M | ¥362K/㎡ | +26.9% |
| Land | 15 | ¥36M | ¥91K/㎡ | -30.0%* |
* The difference is not statistically significant for this number of transactions (the 95% interval includes 0).
Walking distance and used condominium prices (2021–2025)
| Distance from station | Transactions | Median price | Median price per ㎡ |
|---|---|---|---|
| Within 5 min walk | 8 | ¥43.5M | ¥544K/㎡ |
| 6–10 min walk | 21 | ¥44M | ¥553K/㎡ |
| 11–15 min walk | 46 | ¥45.5M | ¥821K/㎡ |
| 16+ min walk / bus | 13 | ¥34M | ¥378K/㎡ |
Daily passengers at Wakabadai Station
23,893 passengers per day in 2024 (-11.4% vs. 2019).
| Year | 2012 | 2014 | 2016 | 2018 | 2019 | 2020 | 2022 | 2024 |
|---|---|---|---|---|---|---|---|---|
| Passengers | 23,402 | 24,758 | 26,934 | 27,278 | 26,954 | 19,688 | 23,048 | 23,893 |
Source: National Land Numerical Information (passengers by station). Figures can change significantly between years when operators change their counting methods.
Neighborhoods with the most transactions near Wakabadai Station
- 稲城市 Wakabadai (若葉台) (83)
- 稲城市 Sakahama (坂浜) (51)
- 稲城市 Nagamine (長峰) (13)
- 川崎市麻生区 Kurokawa (黒川) (8)
Related
- Prices by neighborhood in Inagi-shi (稲城市)
- Prices by neighborhood in Kawasakishiasao-ku (川崎市麻生区)
- Data release: price momentum (Japanese)
Sources: MLIT Real Estate Information Library (Real Estate Transaction Price Information), Statistics Bureau of Japan (Census), Tokyo Metropolitan Police Department (reported crimes by town), Saitama, Chiba and Kanagawa Prefectural Police (open crime data), Tokyo Metropolitan Government (Basic Resident Register population), National Land Numerical Information, and others (compiled and processed by topos labs). Individual transaction prices are processed at publication and may differ from actual prices.
Romanized station names: © OpenStreetMap contributors